Economic performance of Brazilian manufacturing firms: a counterfactual analysis of innovation impacts

This article assesses if innovators outperform non-innovators in Brazilian manufacturing during 1996-2002. To do so, we begin with a simple theoretical model and test the impacts of technological innovation (treatment) on innovating firms (treated) by employing propensity score matching techniques. Correcting for the survivorship bias in the period, it was verified that, on an average, the accomplishment of technological innovations produces positive and significant impacts on the employment, the net revenue, the labor productivity, the capital productivity, and market share of the firms. However, this result was not observed for the mark-up. Especially, the net revenue reflects more robustly the impacts of the innovations. Quantitatively speaking, innovating firms experienced a 10.8-12.5 percentage points (p.p. henceforth) higher growth on employment, a 18.1-21.7 p.p. higher growth on the net revenue, a 10.8-11.9 p.p. higher growth on labor productivity, a 11.8-12.0 p.p. higher growth on capital productivity, and a 19.9-24.3 p.p. higher growth on their market share, relative to the average of the non-innovating firms in the control group. It was also observed that the conjunction of product and process innovations, relative to other forms of innovation, presents the stronger impacts on the performance of Brazilian firms.

A Avaliação do Desempenho de Fundos de Investimento: Modelos Condicionais vs. Modelos não Condicionais

A eficácia das medidas tradicionais de avaliação do desempenho de fundos de investimento tem sido amplamente posta em causa na literatura, sendo-lhes apontadas importantes limitações de ordem conceptual e econométrica. Uma dessas limitações reside no facto de as mesmas pressuporem a existência de uma medida de risco constante ao longo do período de avaliação. Na tentativa de fazer face a esta limitação e considerando que tanto o risco como as rendibilidades esperadas variam ao longo do tempo, um dos mais recentes desenvolvimentos nesta área está relacionado com a utilização de modelos condicionais, que avaliam os gestores das carteiras levando em consideração a informação pública disponível no momento em que as rendibilidades foram geradas. Neste contexto, depois de feita uma revisão da literatura, leva-se a cabo uma análise empírica, com base numa amostra de fundos pertencentes ao mercado português que investem quer no mercado nacional quer no mercado europeu, com o intuito de se estimarem e compararem as medidas de avaliação tradicionais com as suas versões condicionais, de modo a aferir das potenciais vantagens desta nova abordagem. Para além de utilizar quer modelos parcialmente condicionais quer modelos totalmente condicionais, este estudo empírico utiliza variáveis de informação europeias, em vez das mais usuais variáveis locais, e leva em consideração a utilização de variáveis condicionais detrended, um procedimento que pretende evitar o surgimento de regressões “falsas”. Um outro ponto que é objecto de análise é a avaliação do impacto do enviesamento provocado pela utilização de amostras que contenham apenas fundos que sobreviveram a todo o período da pesquisa (survivorship bias), um problema que afecta a grande maioria dos estudos empíricos. Os resultados da análise efectuada sugerem que os gestores dos fundos não são capazes de “bater” o mercado, evidenciando desempenhos negativos ou neutros. Para além disso, observa-se um distance effect, pois os gestores que investem no mercado local obtêm desempenhos superiores aos que investem no mercado europeu. A introdução da condicionalidade nos modelos fez com que tanto o desempenho dos fundos como o poder explicativo dos modelos melhorasse ligeiramente. Para além disso, há evidência de betas (mas não de alfas) variáveis ao longo do tempo em função das variáveis de informação. Contudo, a significância destas variáveis parece estar relacionada com a existência de regressões “falsas”. No que respeita ao survivorship bias, este tem um impacto pequeno nas estimativas do desempenho.

Conditioning information in mutual fund performance evaluation: Portuguese evidence

We estimate and compare the performance of Portuguese-based mutual funds that invest in the domestic market and in the European market using unconditional and conditional models of performance evaluation. Besides applying both partial and full conditional models, we use European information variables, instead of the most common local ones, and consider stochastically detrended conditional variables in order to avoid spurious regressions. The results suggest that mutual fund managers are not able to outperform the market, presenting negative or neutral performance. The incorporation of conditioning information in performance evaluation models is supported by our findings, as it improves the explanatory power of the models and there is evidence of both time-varying betas and alphas related to the public information variables. It is also shown that the number of lags to be used in the stochastic detrending procedure is a critical choice, as it will impact the significance of the conditioning information. In addition, we observe a distance effect, since managers who invest locally seem to outperform those who invest in the European market. However, after controlling for public information, this effect is slightly reduced. Furthermore, the results suggest that survivorship bias has a small impact on performance estimates.

Avaliação do desempenho de fundos de investimento de obrigações: evidência para o mercado Brasileiro

Dissertação de mestrado em Finanças

The Persistence of Finnish Equity Fund Performance

Tutkimuksen tavoitteena on selvittää, esiintyykö suomeen sijoittavilla osakerahastoilla menestyksen pysyvyyttä. Tutkimusaineisto koostuu kaikista suomalaisista osakerahastoista, jotka toimivat ajanjaksolla 15.1.1998-13.1.2005. Aineisto on vapaa selviytymisvinoumasta. Suorituskyvyn mittareina käytetään CAPM-alfaa sekä kolmi- ja nelifaktori-alfaa. Empiirisessä osassa osakerahastojen menestyksen pysyvyyttä testataan Spearmanin järjestyskorrelaatiotestillä. Evidenssi menestyksen pysyvyydestä jäi vähäiseksi, vaikkakin sitä esiintyi satunnaisesti kaikilla menestysmittareilla joillakin ranking- ja sijoitusperiodin yhdistelmillä. CAPM-alfalla tarkasteltuna tilastollisesti merkitsevää menestyksen pysyvyyttä esiintyi selvästi useammin kuin muilla menestysmittareilla. Tulokset tukevat viimeaikaisia kansainvälisiä tutkimuksia, joiden mukaan menestyksen pysyvyys riippuu usein mittaustavasta. Menestysmittareina käytettyjen regressiomallien merkitsevyystestit osoittavat multifaktorimallien selittävän osakerahastojen tuottoja CAPM:a paremmin. Lisätyt muuttujat parantavat merkittävästi CAPM:n selitysvoimaa.

Islamic mutual funds' financial performance and international investment style: evidence from 20 countries

We pursue the first large-scale investigation of a strongly growing mutual fund type: Islamic funds. Based on an unexplored, survivorship bias-adjusted data set, we analyse the financial performance and investment style of 265 Islamic equity funds from 20 countries. As Islamic funds often have diverse investment regions, we develop a (conditional) three-level Carhart model to simultaneously control for exposure to different national, regional and global equity markets and investment styles. Consistent with recent evidence for conventional funds, we find Islamic funds to display superior learning in more developed Islamic financial markets. While Islamic funds from these markets are competitive to international equity benchmarks, funds from especially Western nations with less Islamic assets tend to significantly underperform. Islamic funds’ investment style is somewhat tilted towards growth stocks. Funds from predominantly Muslim economies also show a clear small cap preference. These results are consistent over time and robust to time varying market exposures and capital market restrictions.

Assessing the performance of private equity investments

This study presents an alternative investment projection model to estimate the future values of Private Equity (PE) investments. The performance of PE investments is assessed by analyzing the risk-return relationship relative to simulated Public Market (PM) investments that mimic the cash flow patterns of PE investments. The model allows for a quantified analysis of the underlying inputs that outline the PE performance and risks, and accounts for survivorship bias. These inputs include the fund manager’s decisions regarding the selection, leverage, size, duration and timing of investment and divestments.

The certification role of venture capitalists, top underwriters and big-n auditors in ipos

Esta tese avalia o impacto dos principais atores recorrentes durante o processo de IPO, em particular, o venture capitalist, o underwriter, e o auditor, sobre as condições de comercialização das ações da empresa, capturado pelo bid-ask spread, a fração de investidores institucionais que investem na empresa, a dispersão de capital, entre outros. Além disso, este estudo também analisa alguns benefícios que os fundos de Venture Capital (VCs) fornecem às empresas que eles investem. Ele investiga o papel dos VCs em dificultar o gerenciamento de resultados em IPOs e quantifica o papel desempenhado por eles no desempenho operacional das empresas após sua oferta inicial de ações. No primeiro capítulo, os resultados indicam que as empresas inflam seus resultados principalmente nos períodos pré-IPO e do IPO. Quando nós controlamos para os quatro períodos diferentes do IPO, observamos que IPOs de empresas investidas por VCs apresentam significativamente menos gerenciamento de resultados no IPO e em períodos seguintes à orfeta inicial das ações, exatamente quando as empresas tendem a inflar mais seus lucros. Este resultado é robusto a diferentes métodos estatísticos e diferentes metodologias usadas para avaliar o gerenciamento de resultados. Além disso, ao dividir a amostra entre IPOs de empresas investidas e não investidas por VCs, observa-se que ambos os grupos apresentam gerenciamento de resultados. Ambas as subamostras apresentam níveis de gerenciamento de resultados de forma mais intensa em diferentes fases ao redor do IPO. Finalmente, observamos também que top underwriters apresentam menores níveis de gerenciamento de resultados na subamostra das empresas investidas por VCs. No segundo capítulo, verificou-se que a escolha do auditor, dos VCs, e underwriter pode indicar escolhas de longo prazo da empresa. Nós apresentamos evidências que as características do underwriter, auditor, e VC têm um impacto sobre as características das empresas e seu desempenho no mercado. Além disso, estes efeitos são persistentes por quase uma década. As empresas que têm um top underwriter e um auditor big-N no momento do IPO têm características de mercado que permanecem ao longo dos próximos 8 anos. Essas características são representadas por um número maior de analistas seguindo a empresa, uma grande dispersão da propriedade através de investidores institucionais, e maior liquidez através um bid-ask spread menor. Elas também são menos propensas a saírem do mercado, bem como mais propensas à emissão de uma orferta secundária. Finalmente, empresas investidas por VCs são positivamente afetadas, quando consideramos todas as medidas de liquidez de mercado, desde a abertura de capital até quase uma década depois. Tais efeitos não são devido ao viés de sobrevivência. Estes resultados não dependem da bolha dot-com, ou seja, os nossos resultados são qualitativamente similares, uma vez que excluímos o período da bolha de 1999-2000. No último capítulo foi evidenciado que empresas investidas por VCs incorrem em um nível mais elevado de saldo em tesouraria do que as empresas não investidas. Este efeito é persistente por pelo menos 8 anos após o IPO. Mostramos também que empresas investidas por VCs estão associadas a um nível menor de alavancagem e cobertura de juros ao longo dos primeiros oito anos após o IPO. Finalmente, não temos evidências estatisticamente significantes entre VCs e a razão dividendo lucro. Estes resultados também são robustos a diversos métodos estatísticos e diferentes metodologias.

The impact of the Eurozone sovereign debt crisis on bond fund performance persistence: Evidence from a small market

We evaluate the impact of the Eurozone sovereign debt crisis on the performance and performance persistence of a survivorship bias-free sample of bond funds from a small market, identified as one of the most affected by this event, during the 2001–2012 period. Besides avoiding data mining, we also introduce a methodological innovation in assessing bond fund performance persistence. Our results show that bond funds underperform significantly both during crisis and non-crisis periods. Besides, we find strong evidence of performance persistence, for both short- and longer-term horizons, during non-crisis periods but not during the debt crisis. In this way, the persistence phenomenon in small markets seems to occur only during non-crisis periods and this is valuable information for bond fund investors to exploit.

The conditional performance of euro bond funds: evidence from Portugal during the debt crisis

This paper evaluates the performance of a survivorship bias-free data set of Portuguese funds investing in Euro-denominated bonds by using conditional models that consider the public information available to investors when the returns are generated. We find that bond funds underperform the market significantly and by an economically relevant magnitude. This underperformance cannot be explained by the expenses they charge. Our findings support the use of conditional performance evaluation models, since we find strong evidence of both time-varying risk and performance, dependent on the slope of the term structure and the inverse relative wealth variables. We also show that survivorship bias has a significant impact on performance estimates. Furthermore, during the European debt crisis, bond fund managers performed significantly better than in non-crisis periods and were able to achieve neutral performance. This improved performance throughout the crisis seems to be related to changes in funds’ investment styles.

Hubble parameter reconstruction from a principal component analysis: minimizing the bias

Aims. A model-independent reconstruction of the cosmic expansion rate is essential to a robust analysis of cosmological observations. Our goal is to demonstrate that current data are able to provide reasonable constraints on the behavior of the Hubble parameter with redshift, independently of any cosmological model or underlying gravity theory. Methods. Using type Ia supernova data, we show that it is possible to analytically calculate the Fisher matrix components in a Hubble parameter analysis without assumptions about the energy content of the Universe. We used a principal component analysis to reconstruct the Hubble parameter as a linear combination of the Fisher matrix eigenvectors (principal components). To suppress the bias introduced by the high redshift behavior of the components, we considered the value of the Hubble parameter at high redshift as a free parameter. We first tested our procedure using a mock sample of type Ia supernova observations, we then applied it to the real data compiled by the Sloan Digital Sky Survey (SDSS) group. Results. In the mock sample analysis, we demonstrate that it is possible to drastically suppress the bias introduced by the high redshift behavior of the principal components. Applying our procedure to the real data, we show that it allows us to determine the behavior of the Hubble parameter with reasonable uncertainty, without introducing any ad-hoc parameterizations. Beyond that, our reconstruction agrees with completely independent measurements of the Hubble parameter obtained from red-envelope galaxies.

Experimental studies of di-jet survival and surface emission bias in Au plus Au collisions via angular correlations with respect to back-to-back leading hadrons

We report first results from an analysis based on a new multi-hadron correlation technique, exploring jet-medium interactions and di-jet surface emission bias at the BNL Relativistic Heavy Ion Collider (RHIC). Pairs of back-to-back high-transverse-momentum hadrons are used for triggers to study associated hadron distributions. In contrast with two-and three-particle correlations with a single trigger with similar kinematic selections, the associated hadron distribution of both trigger sides reveals no modification in either relative pseudorapidity Delta eta or relative azimuthal angle Delta phi from d + Au to central Au + Au collisions. We determine associated hadron yields and spectra as well as production rates for such correlated back-to-back triggers to gain additional insights on medium properties.

Low-bias negative differential resistance in graphene nanoribbon superlattices

We theoretically investigate negative differential resistance (NDR) for ballistic transport in semiconducting armchair graphene nanoribbon (aGNR) superlattices (5 to 20 barriers) at low bias voltages V(SD) < 500 mV. We combine the graphene Dirac Hamiltonian with the Landauer-Buttiker formalism to calculate the current I(SD) through the system. We find three distinct transport regimes in which NDR occurs: (i) a ""classical"" regime for wide layers, through which the transport across band gaps is strongly suppressed, leading to alternating regions of nearly unity and zero transmission probabilities as a function of V(SD) due to crossing of band gaps from different layers; (ii) a quantum regime dominated by superlattice miniband conduction, with current suppression arising from the misalignment of miniband states with increasing V(SD); and (iii) a Wannier-Stark ladder regime with current peaks occurring at the crossings of Wannier-Stark rungs from distinct ladders. We observe NDR at voltage biases as low as 10 mV with a high current density, making the aGNR superlattices attractive for device applications.

Universal zero-bias conductance through a quantum wire side-coupled to a quantum dot

A numerical renormalization-group study of the conductance through a quantum wire containing noninteracting electrons side-coupled to a quantum dot is reported. The temperature and the dot-energy dependence of the conductance are examined in the light of a recently derived linear mapping between the temperature-dependent conductance and the universal function describing the conductance for the symmetric Anderson model of a quantum wire with an embedded quantum dot. Two conduction paths, one traversing the wire, the other a bypass through the quantum dot, are identified. A gate potential applied to the quantum wire is shown to control the current through the bypass. When the potential favors transport through the wire, the conductance in the Kondo regime rises from nearly zero at low temperatures to nearly ballistic at high temperatures. When it favors the dot, the pattern is reversed: the conductance decays from nearly ballistic to nearly zero. When comparable currents flow through the two channels, the conductance is nearly temperature independent in the Kondo regime, and Fano antiresonances in the fixed-temperature plots of the conductance as a function of the dot-energy signal interference between them. Throughout the Kondo regime and, at low temperatures, even in the mixed-valence regime, the numerical data are in excellent agreement with the universal mapping.